A mathematical model for population distribution III: An analytical approach to pray-predator systems

The present paper is a continuation of the work described in Elias (2023) and Elias (2024) which attempt to develop a deterministic simulation for phenomena occurring in Regional Science, incorporating demographic, economic, geographical etc. variables to a mathematically simulated deterministic system. Herein, such systems are approximated by a generalization of the Helmholtz wave equation, providing the possibility to better understand the dynamic influence of the environment and of the interaction between the variables within the system, thus making possible the discrimination between inertial, isolated (closed) and (open-general) dynamic cases. A simulation concerning population systems is presented, applied on prey – predator systems, without utilizing the Lotka – Volterra equations. For these systems the analytically derived expressions for the equations of motion (temporal) and distribution (spatiotemporal) are produced.

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Publication Details

Journal
Romanian Journal of Regional Science
Published
2025-12-19
DOI
https://doi.org/10.61225/rjrs.2025.09
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

A mathematical model for population distribution III: An analytical approach to pray-predator systems

N. M. Elias
Romanian Journal of Regional Science
Mathematical and Theoretical Epidemiology and Ecology Models
article

A mathematical model for population distribution III: An analytical approach to pray-predator systems

N. M. Elias
article en

Abstract

The present paper is a continuation of the work described in Elias (2023) and Elias (2024) which attempt to develop a deterministic simulation for phenomena occurring in Regional Science, incorporating demographic, economic, geographical etc. variables to a mathematically simulated deterministic system. Herein, such systems are approximated by a generalization of the Helmholtz wave equation, providing the possibility to better understand the dynamic influence of the environment and of the interaction between the variables within the system, thus making possible the discrimination between inertial, isolated (closed) and (open-general) dynamic cases. A simulation concerning population systems is presented, applied on prey – predator systems, without utilizing the Lotka – Volterra equations. For these systems the analytically derived expressions for the equations of motion (temporal) and distribution (spatiotemporal) are produced.

Romanian Journal of Regional ScienceVol. 19(2)
Openalex Percentile: Top 48%
Mathematical and Theoretical Epidemiology and Ecology Models
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